code: def test_DataBatch():
      from mxnet.io import DataBatch
      import re
  
      batch = DataBatch(data=[mx.nd.ones((2, 3))])
      assert re.match(
          r"DataBatch: data shapes: \[\(2L?, 3L?\)\] label shapes: None",
          str(batch),
      )
      batch = DataBatch(
          data=[mx.nd.ones((2, 3)), mx.nd.ones((7, 8))],
          label=[mx.nd.ones((4, 5))],
      )
      assert re.match(
          r"DataBatch: data shapes: \[\(2L?, 3L?\), \(7L?, 8L?\)\] label shapes: \[\(4L?, 5L?\)\]",
          str(batch),
      )
  
imports: import mxnet
  import mxnet.ndarray
  from mxnet.test_utils import *
  from mxnet.base import MXNetError
  import numpy
  import os
  import gzip
  import pickle
  import time
  import sys
  from common import assertRaises
  import pytest
  from itertools import zip_longest
label_desc: Use image node_id 15 for calling a global function with example usage: test_DataBatch() without return types